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Evidence on IO Technology Assumptions From the Longitudinal Research Database

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  • Joe Mattey
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    Abstract

    This paper investigates whether a popular IO technology assumption, the commodity technology model, is appropriate for specific United States manufacturing industries, using data on product composition and use of intermediates by individual plants from the Census Longitudinal Research Database. Extant empirical research has suggested the rejection of this model, owing to the implication of aggregate data that negative inputs are required to make particular goods. The plant-level data explored here suggest that much of the rejection of the commodity technology model from aggregative data was spurious; problematic entries in industry-level IO tables generally have a very low Census content. However, among the other industries for which Census data on specified materials use is available, there is a sound statistical basis for rejecting the commodity technology model in about one-third of the cases: a novel econometric test demonstrates a fundamental heterogeneity of materials use among plants that only produce the primary products of the industry.

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    File URL: ftp://ftp2.census.gov/ces/wp/1993/CES-WP-93-08.pdf
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    Bibliographic Info

    Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 93-8.

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    Date of creation: May 1993
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    Handle: RePEc:cen:wpaper:93-8

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    Keywords: CES; economic; research; micro; data; microdata; chief; economist;

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    1. Steve J. Davis & John Haltiwanger, 1991. "Gross Job Creation, Gross Job Destruction and Employment Reallocation," NBER Working Papers 3728, National Bureau of Economic Research, Inc.
    2. Coase, R H, 1992. "The Institutional Structure of Production," American Economic Review, American Economic Association, vol. 82(4), pages 713-19, September.
    3. Timothy Dunne, 1991. "Technology Usage in U.S. Manufacturing Industries: New Evidence from the Survey of Manufacturing Technology," Working Papers 91-7, Center for Economic Studies, U.S. Census Bureau.
    4. McGuckin, Robert H & Nguyen, Sang V & Andrews, Stephen H, 1992. "The Relationships among Acquiring and Acquired Firms' Product Lines," Journal of Law and Economics, University of Chicago Press, vol. 34(2), pages 477-502, October.
    5. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    6. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    7. Newey, Whitney K., 1987. "Specification tests for distributional assumptions in the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 125-145.
    8. Gollop, Frank M & Monahan, James L, 1991. "A Generalized Index of Diversification: Trends in U.S. Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 318-30, May.
    9. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
    10. Sang V Nguyen & Edward C Kokkelenberg, 1988. "Modelling Technical Progress And Total Factor Productivity: A Plant Level Example," Working Papers 88-4, Center for Economic Studies, U.S. Census Bureau.
    11. Robert H Mcguckin & Peter Zadrozny, 1988. "Long-Run Expectations And Capacity," Working Papers 88-1, Center for Economic Studies, U.S. Census Bureau.
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